Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment-Reference-Cited by-同舟云学术

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Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment

Published:2018-06 Issue: Volume:40 Page:37-52
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Luong Ngoc Hoang,Alderliesten Tanja,Bel Arjan,Niatsetski Yury,Bosman Peter A.N.

Funder

Netherlands Organisation for Scientific Research (NWO)

Elekta

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference35 articles.

1. Introduction and innovations in brachytherapy;Venselaar,2012

2. A comparison of inverse optimization algorithms for HDR/PDR prostate brachytherapy treatment planning;Dinkla;Brachytherapy,2015

3. Inverse planning anatomy-based dose optimization for HDR-brachytherapy of the prostate using fast simulated annealing algorithm and dedicated objective function;Lessard;Med. Phys.,2001

4. HIPO: a hybrid inverse treatment planning optimization algorithm in HDR brachytherapy;Karabis;Radiother. Oncol.,2005

5. Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs;Alterovitz;Med. Phys.,2006

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3. Multiobjective tree-based reinforcement learning for estimating tolerant dynamic treatment regimes;Biometrics;2024-01-29

4. Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition;Expert Systems with Applications;2023-04

5. Towards artificial intelligence-based automated treatment planning in clinical practice: A prospective study of the first clinical experiences in high-dose-rate prostate brachytherapy;Brachytherapy;2023-03

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